| Literature DB >> 33205150 |
Bernhard Michalowsky1, Wolfgang Hoffmann1,2, Jens Bohlken3, Karel Kostev4.
Abstract
BACKGROUND: There is little evidence about the utilisation of healthcare services and disease recognition in the older population, which was urged to self-isolate during the COVID-19 lockdown.Entities:
Keywords: COVID-19; healthcare utilisation; lockdown; older people; recognition
Mesh:
Year: 2021 PMID: 33205150 PMCID: PMC7717143 DOI: 10.1093/ageing/afaa260
Source DB: PubMed Journal: Age Ageing ISSN: 0002-0729 Impact factor: 10.668
Figure 1
Timeline of COVID-19-related recommendations and measures in Germany.
Utilisation of healthcare services during the COVID-19 pandemic in Germany in 2020 compared to corresponding periods in 2019
| Pre-pandemic interval | Pandemic interval | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| February | March | April | May | ∑ | |||||||||
| Utilisation of healthcare services, | 2019 | 2020 | Diff. (%) | 2019 | 2020 | Diff. (%) | 2019 | 2020 | Diff. (%) | 2019 | 2020 | Diff. (%) | Diff. (%) |
| Numbers ( | |||||||||||||
| Number of consultations | |||||||||||||
| GPs, internal medicine specialists | 592.4 | 579.7 | -2% | 603.6 | 691.1 | +15% | 643 | 549 | −15% | 632 | 544 | −14% | −4% |
| Orthopaedists | 53.0 | 52.6 | −1% | 52.8 | 45.8 | −13% | 55.1 | 37.8 | −31% | 57.4 | 46.3 | −19% | −16% |
| Diabetologists | 29.0 | 29.0 | 0% | 29.1 | 32.1 | +12% | 31.0 | 28.0 | −10% | 30.3 | 28.0 | −8% | −1% |
| Psychiatrists/neurologists | 32.9 | 32.7 | −1% | 32.6 | 36.7 | +13% | 34.9 | 28.7 | −18% | 35.0 | 31.0 | −12% | −5% |
| Urologists | 32.5 | 32.2 | −1% | 31.8 | 31.8 | 0% | 32.0 | 26.1 | −18% | 33.7 | 29.3 | −13% | −8% |
| Dermatologists | 32.0 | 29.9 | −7% | 33.1 | 28.6 | −14% | 31.4 | 21.0 | −33% | 32.8 | 27.1 | 17% | −18% |
| ENT specialists | 29.8 | 28.8 | −4% | 29.5 | 24.1 | −18% | 29.3 | 17.7 | −40% | 29.8 | 23.1 | −23% | −21% |
| Gynaecologists | 16.3 | 16.1 | −1% | 16.6 | 16.0 | −4% | 16.2 | 11.8 | −27% | 17.7 | 14.3 | −19% | −13% |
| Specialists referrals | |||||||||||||
| GP, internal medicine specialists | 76.1 | 70.4 | −7% | 63.6 | 50.8 | −20% | 104.5 | 68.7 | −34% | 79.3 | 67.9 | −14% | −20% |
| Orthopaedists | 7.7 | 7.5 | −3% | 7.2 | 5.5 | −24% | 8.9 | 5.3 | −40% | 8.4 | 6.9 | −17% | −22% |
| Diabetologists | 6.1 | 5.7 | −6% | 5.2 | 4.3 | −16% | 7.8 | 5.0 | −36% | 6.3 | 5.0 | −21% | −21% |
| Psychiatrists/neurologists | 1.9 | 1.9 | +1% | 1.8 | 1.3 | −23% | 2.3 | 1.4 | −40% | 2.1 | 1.7 | −21% | −22% |
| Urologists | 5.5 | 5.1 | −5% | 5.7 | 4.8 | −16% | 5.4 | 4.0 | −26% | 5.6 | 4.1 | −10% | −14% |
| Dermatologists | 5.2 | 5.0 | −5% | 5.1 | 4.4 | −14% | 5.2 | 3.1 | −39% | 5.3 | 4.4 | −18% | −19% |
| ENT specialists | 2.4 | 1.9 | −15% | 1.9 | 1.4 | −27% | 2.5 | 1.3 | −48% | 2.3 | 1.8 | −21% | −28% |
| Gynaecologists | 3.8 | 4.0 | +6% | 3.3 | 3.1 | −7% | 4.7 | 2.8 | −41% | 4.1 | 3.8 | −8% | −14% |
| Hospital admissions | |||||||||||||
| GP, internal medicine specialists | 8.3 | 5.7 | −32% | 7.9 | 4.4 | −43% | 9.1 | 4.9 | −46% | 8.3 | 4.5 | −46% | −45% |
| Orthopaedists | 1.2 | 1.0 | −14% | 1.1 | 0.7 | −36% | 1.1 | 0.6 | −51% | 1.1 | 0.8 | −30% | −32% |
| Diabetologist | 0.6 | 0.4 | −29% | 0.6 | 0.3 | −49% | 0.6 | 0.4 | −39% | 0.6 | 0.3 | −50% | −42% |
| Psychiatrists/neurologists | 0.5 | 0.4 | −19% | 0.4 | 0.2 | −46% | 0.5 | 0.2 | −52% | 0.5 | 0.3 | −42% | −40% |
| Urologists | 1.0 | 0.8 | −18% | 0.9 | 0.6 | −29% | 1.1 | 0.6 | −41% | 1.0 | 0.7 | −28% | −29% |
| Dermatologists | 0.2 | 0.2 | −14% | 0.2 | 0.1 | −51% | 0.3 | 0.1 | −64% | 0.3 | 0.2 | −45% | −45% |
| ENT specialists | 0.3 | 0.3 | +3% | 0.3 | 0.2 | −24% | 0.4 | 0.2 | −44% | 0.4 | 0.2 | −34% | −26% |
| Gynaecologists | 0.3 | 0.2 | −19% | 0.2 | 0.2 | −5% | 0.3 | 0.1 | −55% | 0.3 | 0.2 | −34% | −31% |
aAccording to Holloway et al. [25].
bFebruary: less than 200 SARS-CoV-2 infections.
c50,000 at the end of March.
d125,000 at the end of April.
eMore than 180,000 at the end of May.
fFebruary–May.
Figure 2
Overview of healthcare services utilised and incident diseases detected during the COVID-19 pandemic in Germany in 2020 compared to 2019.
Recognition of incident diseases during the COVID-19 pandemic in Germany in 2020 compared to 2019
| Recognised incident disease, | Pre-pandemic interval | Pandemic interval | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| February | March | April | May |
| |||||||||
| 2019 | 2020 | Diff. (%) | 2019 | 2020 | Diff. (%) | 2019 | 2020 | Diff. (%) | 2019 | 2020 | Diff. (%) | Diff. (%) | |
| GP, internal medicine specialists | |||||||||||||
| Diabetes | 2,892 | 2,719 | −6% | 2,957 | 2,703 | −9% | 2,919 | 2,027 | −31% | 2,690 | 2,025 | −25% | −17% |
| Cancer | 2,321 | 2,140 | −8% | 2,333 | 2,106 | −10% | 2,539 | 1,853 | −27% | 2,330 | 1,885 | −19% | −16% |
| Coronary heart disease | 2,047 | 2,078 | 2% | 2,127 | 1,964 | −8% | 2,205 | 1,644 | −25% | 1,956 | 1,536 | −21% | −13% |
| Dementia | 1,467 | 1,383 | −6% | 1,561 | 1,429 | −8% | 1,710 | 1,380 | −19% | 1,544 | 1,254 | −19% | −13% |
| COPD | 1,636 | 1,498 | −8% | 1,659 | 1,519 | −8% | 1,607 | 1,067 | −34% | 1,358 | 956 | −30% | −19% |
| Depression | 1,484 | 1,427 | −4% | 1,607 | 1,438 | −11% | 1,668 | 1,271 | −24% | 1,505 | 1,260 | −16% | −14% |
| Acute stroke | 711 | 667 | −6% | 723 | 757 | 5% | 765 | 621 | −19% | 668 | 587 | −12% | −8% |
| Myocardial infarction | 429 | 381 | −11% | 402 | 393 | −2% | 441 | 377 | −15% | 367 | 319 | −13% | −10% |
| Psychiatrists/neurologists | |||||||||||||
| Dementia | 768 | 690 | −10% | 612 | 627 | 2% | 730 | 449 | −38% | 718 | 529 | −26% | −19% |
| Depression | 726 | 668 | −8% | 626 | 598 | −4% | 549 | 445 | −19% | 597 | 457 | −23% | −13% |
| Parkinson | 238 | 230 | −3% | 202 | 188 | −7% | 187 | 160 | −14% | 214 | 164 | −32% | −15% |
| Epilepsy | 183 | 169 | −8% | 158 | 172 | 9% | 170 | 120 | −29% | 148 | 115 | −22% | −13% |
| Acute stroke | 126 | 109 | −13% | 138 | 104 | −25% | 113 | 70 | −38% | 122 | 87 | −29% | −26% |
| Diabetologists | |||||||||||||
| Diabetes | 655 | 742 | +13% | 668 | 637 | −5% | 593 | 367 | −38% | 582 | 467 | −20% | −11% |
aAccording to Holloway et al. [25].
bFebruary: less than 200 confirmed SARS-CoV-2 infections.
c50,000 at the end of March.
d125,000 at the end of April.
eMore than 180,000 at the end of May.
fFebruary–May.